What are the responsibilities and job description for the Applied Science Manager, Amazon Robotics position at Amazon?
DESCRIPTION
Do you want to create intelligent, adaptable robots with global impact? The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. We invent and scale Computer Vision / ML systems for robotics in fulfillment centers. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. We hire and develop CVML experts in robotics with a focus on deep learning, foundation models, generative models, intelligent control, semi-supervised and unsupervised learning. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.
We are seeking an experienced Computer Vision ML Applied Science Manager to lead a team of talented applied scientists and software engineers developing and deploying advanced vision, machine learning and optimization algorithms. You will drive CVML innovation that enables manipulation in high-contact, high-density, and diverse conditions with the speed and reliability that will delight our customers. Collaborating with cross-functional teams across hardware, software, and science, you will deliver reliable and high-performing solutions that will scale across geographies, applications, and conditions. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables computer vision to significantly impact the lives of millions of consumers.
Key job responsibilities
* As a manager, you will be responsible for researching, implementing, delivering and maintaining critical computer vision and machine learning capabilities at amazon robotics.
* You will prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.
* You will keep your technical skills current to contribute to architecture and design discussions.
* You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.
* Set a vision for your team and create product roadmaps. Help your team sort out technical and product requirements and priorities. Use project management skills to deliver product roadmap items and other cross-team projects.
A day in the life
- Prioritize being a great people manager: motivating, rewarding, and coaching your diverse team is the most important part of this role. You will recruit and retain top talent and excel in people and performance management tasks.
- Set a vision for the team and create the technical roadmap that deliver results for customers while thinking big for future applications.
- Guide the research, design, deployment, and evaluation of complex computer vision and machine learning algorithms for contact-rich, cluttered, real-world manipulation problems.
- Work closely with motion, hardware, and software teams to create integrated robotic solutions that are better than the sum of their parts.
- Implement best practices in applied research and software development, managing project timelines, resources, and deliverables effectively.
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4 years of industry or academic research experience
- 6 years of applied research experience
- 3 years of scientists or machine learning engineers management experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C , Python or related language
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Strong understanding of computer vision and machine learning (classical, deep neural networks and foundation models)
PREFERRED QUALIFICATIONS
- Experience hiring and growing top talent
- Familiarity with CV detection (segmentation, classification, performance KPIs (mAP, ROC, Recall-at-set-precision etc)), 3D Geometry and camera calibrations.
- Experience in the latest developments in the field of ML e.g. foundation models, ViTs, contrastive loss, generative models like diffusion models etc.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $165,500 - $286,000
